The Prognostic Value of Preoperative Patient-Reported Function and Psychological Characteristics on Early Outcomes Following Trapeziectomy With Ligament Reconstruction Tendon Interposition for Treatment of Thumb Carpometacarpal Osteoarthritis

Evaluating Factors Associated With Patient-Perceived Applicability of the QuickDASH Survey in Reflecting Their Goals of Care Prior to Hand Surgery

PURPOSE

Patient-reported outcome measures intend to capture patients' perspectives on their health status. However, the patient-perceived applicability of many of these patient-reported outcome measures is unknown. We hypothesized that patients experiencing greater upper extremity disability and greater pain interference would be more likely to report that the Quick Disabilities of the Arm, Shoulder, and Hand questionnaire (QuickDASH) survey content is responsive to their daily lives and goals in seeking surgical care.

METHODS

Adult preoperative hand surgery patients at a single tertiary academic center were recruited prospectively. QuickDASH, Patient-Reported Outcomes Measurement Information System Pain Interference computerized-adaptive-testing, and the Godin Leisure-Time Exercise Questionnaire (GLTEQ)-a validated adult physical activity level metric-data were collected. The following two Likert response questions were also asked: question (1) "How applicable is the above questionnaire to your treatment goals for your upper extremity condition?" and question (2) "How applicable is the overall questionnaire to your daily life?" Multivariable binary logistic regression was performed to define the factors associated with patients reporting that the survey was "very applicable."

RESULTS

Of the 133 included patients, the mean age was 49 ± 18 years, 40% were women, and the mean GLTEQ score was 54.1 ± 5.5 (consistent with a high level of activity). For questions 1 and 2, 32% and 29% of the patients reported that QuickDASH was "very applicable," respectively. The multivariable model demonstrated that for every 10-point increase in QuickDASH, there was a 45% to 49% greater odds of respondents reporting that the survey was "very applicable," and for every 5-point increase in pain interference computerized-adaptive-testing, the odds increased by 55% to 70%. No association with GLTEQ was observed.

CONCLUSIONS

Patients with greater upper extremity disability and pain interference were more likely to find the QuickDASH content to be applicable to their daily lives and goals in seeking surgical care.

CLINICAL RELEVANCE

These findings suggest that QuickDASH may not be an optimal instrument when evaluating upper extremity function in cohorts with mild disability and low pain interference.

The Relationship Between Patient-Reported Outcomes and Patient Satisfaction With Ligament Reconstruction Tendon Interposition

PURPOSE

Achieving the minimal clinically important difference (MCID) on an outcomes instrument and reporting satisfaction with surgical outcomes are not equivalent. We hypothesized that improvement exceeding the QuickDASH and PROMIS UE CAT MCID is associated with a greater likelihood of reporting satisfaction with ligament reconstruction tendon interposition (LRTI) treatment. Our secondary hypothesis was that a subset of patients failing to meet MCID would still be satisfied.

METHODS

Patients ≥1 year after LRTI at one academic tertiary institution were included. QuickDASH and UE CAT v1.2 scores were obtained before and after surgery. Postoperative satisfaction and levels of improvement in pain and function were also obtained.

RESULTS

A total of 93 patients completed the QuickDASH, and of those, 90 also completed the UE CAT. At a mean of 2.6 ± 1.0 years after surgery, QuickDASH and UE CAT score improvement exceeded the previously published MCID estimates of 8.8 and 4.8. Although 90% (84/93) of the patients reported satisfaction, only 85% (72/93) and 72% (59/90) achieved MCID on the QuickDASH and UE CAT, respectively. Using the MCID estimate of 8.8, 96% (72/75) of the patients meeting the MCID were satisfied with their treatment. Those failing to achieve MCID reported significantly less physical function and pain improvement; however, most were satisfied nonetheless (68% [13/19] for QuickDASH, 77% [23/30] for UE CAT).

CONCLUSIONS

Achieving published MCID thresholds on the QuickDASH and PROMIS UE CAT v1.2 was predictive of patients reporting general satisfaction with their LRTI outcome ≥1 year after surgery. Most patients failing to achieve MCID still reported satisfaction with their LRTI. Achieving MCID thresholds alone should not be used as a surrogate for patient satisfaction with their treatment. Patient satisfaction is a complicated construct that is potentially very different from that of high-quality care.

TYPE OF STUDY/LEVEL OF EVIDENCE

Prognostic IV.

Systematic Comparison of Ligament Reconstruction With Tendon Interposition and Suture-Button Suspensionplasty for Trapeziometacarpal Osteoarthritis

Ligament reconstruction tendon interposition (LRTI) and suture-button suspensionplasty (SBS) are both common treatment options for trapeziometacarpal osteoarthritis. The primary purpose of this systematic review was to compare the subjective improvement in patient-reported outcomes in regard to disability for patients undergoing LRTI and SBS for trapeziometacarpal osteoarthritis. A secondary purpose was to compare the subjective improvement, objective outcome scores, and complication rates following both procedures. We performed a systematic review using PubMed, Scopus, and Embase to compare the clinical outcomes of LRTI and SBS. Inclusion criteria were level I-IV evidence articles reporting postoperative Disabilities of the Arm, Shoulder, and Hand (DASH) or QuickDASH scores. Study methodological quality, risk of bias, and recommendation strength were assessed. This systematic review included 31 studies for final analysis with 1289 thumbs undergoing LRTI (25 studies) and 113 thumbs undergoing SBS (6 studies). Both procedures demonstrated similar improvement in DASH and/or QuickDASH scores, while key pinch and grip strength inconsistently improved following both procedures. Complication rate was similar between the 2 procedures; LRTI 12% and SBS 13%. Although both LRTI and SBS seem to provide improved short-term patient-reported functional improvement and objective strength, there was significant heterogeneity within the included studies, and those studies discussing SBS were of lower quality evidence than those of LRTI. Thus, to truly delineate whether a difference exists between these 2 techniques for the treatment of first carpometacarpal joint arthritis, larger prospectively designed studies of high-quality evidence are necessary.

Evaluation of Preoperative Factors Affecting Midterm Patient-Reported Outcomes Following Ligament Reconstruction Tendon Interposition: A Prognostic Study

PURPOSE

The aim of this study was to evaluate the prognostic value of preoperative patient-reported outcomes as predictors of functional improvement following ligament reconstruction tendon interposition. We hypothesized that high levels of preoperative pain interference (PI) and upper-extremity disability are associated with lower magnitudes of functional improvement ≥1 year after surgery on the shortened version of the Disabilities of the Arm, Shoulder, and Hand (QuickDASH) (primary outcome) and Patient-Reported Outcomes Measurement Information System Upper Extremity (UE) Computer Adaptive Test (CAT) (UE CAT) v1.2 (secondary outcome).

METHODS

Adult patients who underwent ligament reconstruction tendon interposition between February 2014 and April 2018 at an academic tertiary institution were considered for inclusion in this longitudinal cohort study. Patient-reported outcomes were collected at baseline and ≥1 year after surgery. Univariate and multivariable linear regression analyses were performed to identify factors associated with the magnitude of functional improvement on the QuickDASH and UE CAT.

RESULTS

Among 93 included participants, the mean age was 61 ± 7 years, and 75 (81%) were women. At 2.5 ± 1.0 years after surgery, the QuickDASH and UE CAT improved by a mean of 24.5 ± 20.9 and 9.9 ± 10.7 points, respectively. In the primary multivariable model, a greater preoperative QuickDASH (indicative of lower function; coefficient, 0.8; 95% confidence interval [CI], 0.6 to 0.9) and lower preoperative Performance of Patient-Reported Outcomes Measurement Information System PI CAT (eg, less pain interference; coefficient, -0.7; 95% CI, -1.2 to -0.2) were associated with greater QuickDASH improvement independent of potential confounders. In the secondary multivariable model, lower preoperative UE CAT (indicative of worse function; coefficient, -0.9; 95% CI, -1.1 to -0.7) and lower preoperative Patient-Reported Outcomes Measurement Information System PI CAT (coefficient, -0.3; 95% CI, -0.6 to -0.1) were associated with greater UE CAT improvement.

CONCLUSIONS

Preoperative patient-reported outcomes may be useful in understanding the degree of improvement that certain patient populations can expect from ligament reconstruction tendon interposition. Those with lower baseline (preoperative) upper-extremity function and PI are expected to derive the greatest functional improvement in the midterm.

TYPE OF STUDY/LEVEL OF EVIDENCE

Prognostic IV.

Machine Learning Can be Used to Predict Function but Not Pain After Surgery for Thumb Carpometacarpal Osteoarthritis

BACKGROUND

Surgery for thumb carpometacarpal osteoarthritis is offered to patients who do not benefit from nonoperative treatment. Although surgery is generally successful in reducing symptoms, not all patients benefit. Predicting clinical improvement after surgery could provide decision support and enhance preoperative patient selection.

QUESTIONS/PURPOSES

This study aimed to develop and validate prediction models for clinically important improvement in (1) pain and (2) hand function 12 months after surgery for thumb carpometacarpal osteoarthritis.

METHODS

Between November 2011 and June 2020, 2653 patients were surgically treated for thumb carpometacarpal osteoarthritis. Patient-reported outcome measures were used to preoperatively assess pain, hand function, and satisfaction with hand function, as well as the general mental health of patients and mindset toward their condition. Patient characteristics, medical history, patient-reported symptom severity, and patient-reported mindset were considered as possible predictors. Patients who had incomplete Michigan Hand outcomes Questionnaires at baseline or 12 months postsurgery were excluded, as these scores were used to determine clinical improvement. The Michigan Hand outcomes Questionnaire provides subscores for pain and hand function. Scores range from 0 to 100, with higher scores indicating less pain and better hand function. An improvement of at least the minimum clinically important difference (MCID) of 14.4 for the pain score and 11.7 for the function score were considered "clinically relevant." These values were derived from previous reports that provided triangulated estimates of two anchor-based and one distribution-based MCID. Data collection resulted in a dataset of 1489 patients for the pain model and 1469 patients for the hand function model. The data were split into training (60%), validation (20%), and test (20%) dataset. The training dataset was used to select the predictive variables and to train our models. The performance of all models was evaluated in the validation dataset, after which one model was selected for further evaluation. Performance of this final model was evaluated on the test dataset. We trained the models using logistic regression, random forest, and gradient boosting machines and compared their performance. We chose these algorithms because of their relative simplicity, which makes them easier to implement and interpret. Model performance was assessed using discriminative ability and qualitative visual inspection of calibration curves. Discrimination was measured using area under the curve (AUC) and is a measure of how well the model can differentiate between the outcomes (improvement or no improvement), with an AUC of 0.5 being equal to chance. Calibration is a measure of the agreement between the predicted probabilities and the observed frequencies and was assessed by visual inspection of calibration curves. We selected the model with the most promising performance for clinical implementation (that is, good model performance and a low number of predictors) for further evaluation in the test dataset.

RESULTS

For pain, the random forest model showed the most promising results based on discrimination, calibration, and number of predictors in the validation dataset. In the test dataset, this pain model had a poor AUC (0.59) and poor calibration. For function, the gradient boosting machine showed the most promising results in the validation dataset. This model had a good AUC (0.74) and good calibration in the test dataset. The baseline Michigan Hand outcomes Questionnaire hand function score was the only predictor in the model. For the hand function model, we made a web application that can be accessed via https://analyse.equipezorgbedrijven.nl/shiny/cmc1-prediction-model-Eng/.

CONCLUSION

We developed a promising model that may allow clinicians to predict the chance of functional improvement in an individual patient undergoing surgery for thumb carpometacarpal osteoarthritis, which would thereby help in the decision-making process. However, caution is warranted because our model has not been externally validated. Unfortunately, the performance of the prediction model for pain is insufficient for application in clinical practice.

LEVEL OF EVIDENCE

Level III, therapeutic study.

Prognostic Factors Affecting Long-Term Outcomes After Elbow Dislocation: A Longitudinal Cohort Study

Purpose

To describe patient-reported outcomes following simple elbow dislocation and to identify the baseline factors that predict outcomes.

Methods

Adult patients treated with a closed reduction for a simple elbow dislocation with or without minor fracture (coronoid avulsion, radial head fracture, or epicondyle avulsion) from 2000 to 2018 completed outcome instruments including Disabilities of the Arm, Shoulder and Hand (QuickDASH) via Research Electronic Data Capture. Descriptive statistics were calculated. Univariate followed by multivariate Tobit regression models were used to determine factors associated with clinical outcomes on QuickDASH. Social deprivation was measured using the Area Deprivation Index. Patients with additional upper-extremity injuries or associated major fractures (Monteggia or terrible triad injuries, distal humerus fractures, etc) were excluded.

Results

At a mean follow-up of 67.5 months, 95% (38/40) of patients reported satisfaction with treatment, and clinical outcomes were good (QuickDASH 9.0 ± 14.8). Univariate analysis showed that higher Area Deprivation Index, older age, female sex, high-energy mechanism of injury, and worker’s compensation (WC) or Medicare insurance status (vs commercial) was associated with significantly worse QuickDASH scores at follow-up. Early therapy, dominant elbow involvement, presence of minor fractures (minimally displaced radial head, coronoid tip, or epicondylar avulsion fractures), race, and treating service did not influence outcomes in univariate analyses. Multivariate analysis demonstrated a significant association between increased social deprivation, WC insurance, and Medicare insurance and worse QuickDASH scores while controlling for new upper-extremity injury, age, sex, and mechanism of injury.

Conclusions

Outcomes and treatment satisfaction following simple elbow dislocation are generally good but are significantly worse for the patients with greater levels of social deprivation and WC or Medicare insurance. Although surgeons should be aware of the possibility that specific subsets of patients may benefit from early therapy, this factor did not appear to influence long-term outcomes in this small cohort.

Type of study/level of evidence

Prognostic III.